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Emulating the coherent Ising machine with a mean-field algorithm

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abstract

The coherent Ising machine is an optical processor that uses coherent laser pulses, but does not employ coherent quantum dynamics in a computational role. Core to its operation is the iterated simulation of all-to-all spin coupling via mean-field calculation in a classical FPGA coprocessor. Although it has been described as "operating at the quantum limit" and a "quantum artificial brain", interaction with the FPGA prevents the coherent Ising machine from exploiting quantum effects in its computations. Thus the question naturally arises: Can the optical portion of the coherent Ising machine be replaced with classical mean-field arithmetic? Here we answer this in the affirmative by showing that a straightforward noisy version of mean-field annealing closely matches CIM performance scaling, while running roughly 20 times faster in absolute terms.

fields

quant-ph 1

years

2019 1

verdicts

UNVERDICTED 1

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  • Highly parallel algorithm for the Ising ground state searching problem quant-ph · 2019-07-11 · unverdicted · none · ref 49 · internal anchor

    MARS algorithm finds good Ising ground-state approximations via massively parallel mean-field annealing runs from random configurations, claiming strong performance on large spin systems and max-cut benchmarks.